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Paper Abstract and Keywords
Presentation 2017-03-16 15:30
Improvement of Similar Subgraph Search Method for Historical Document Image Retrieval System
Hiroaki Kodama, Honomi Takata, Reiko Yamamoto, Mitsuru Nakata, Qi-Wei Ge, Makoto Yoshimura (Yamaguchi Univ.) MSS2016-86
Abstract (in Japanese) (See Japanese page) 
(in English) We aim to realize an image retrieval system for handwritten Japanese
historical documents, which doesn't require reprinting and revising
processes. In this system, a feature graph is used to represent the
structure of a character as well as a string including multiple
characters. A feature graph of a string in historical documents is
called {it document graph}, while a feature graph of a string for system
users to search is called search graph. A search graph contains an
essential graph, which must be contained in search results and shows
an indispensable structure. Till now, we have realized a retrieval
method to search similar subgraphs from a document graph for a given
search graph. The main processes of our method are as follows:
(1) to seek the subgraphs that are isomorphic to the indispensable
graph from document graphs and find candidates of search result based
on these subgraphs; (2) to remove improper candidates based on certain
conditions. In this paper, we improved process (1) in order to efficiently
find similar subgraphs.
Keyword (in Japanese) (See Japanese page) 
(in English) image retrieval for historical documents / similar subgraph / isomorphic subgraph / feature graph / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 525, MSS2016-86, pp. 29-34, March 2017.
Paper # MSS2016-86 
Date of Issue 2017-03-09 (MSS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MSS2016-86

Conference Information
Committee MSS  
Conference Date 2017-03-16 - 2017-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Shimane Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2017-03-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Similar Subgraph Search Method for Historical Document Image Retrieval System 
Sub Title (in English)  
Keyword(1) image retrieval for historical documents  
Keyword(2) similar subgraph  
Keyword(3) isomorphic subgraph  
Keyword(4) feature graph  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroaki Kodama  
1st Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
2nd Author's Name Honomi Takata  
2nd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
3rd Author's Name Reiko Yamamoto  
3rd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
4th Author's Name Mitsuru Nakata  
4th Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
5th Author's Name Qi-Wei Ge  
5th Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
6th Author's Name Makoto Yoshimura  
6th Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
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Speaker Author-1 
Date Time 2017-03-16 15:30:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # MSS2016-86 
Volume (vol) vol.116 
Number (no) no.525 
Page pp.29-34 
#Pages 6 
Date of Issue 2017-03-09 (MSS) 

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